Production and supply chain can be considered as the fundamentals of economic cycle for all countries. As a result climate crisis in world disasters it brought, use green products has become inevitable. With restrictions imposed by some governments, suppliers have started to canalize their productions environmental goods selection most appropriate supplier strategic decision. However, classical...

The goal of the paper is two-fold. first which to derive an explicit formula compute generating series a closed-loop system when plant, given in Chen-Fliess description multiplicative output feedback connection with another description. In addition, dynamic has natural interpretation as transformation group acting on plant. second two-part this same part albeit replaced by memoryless map, so ca...

We show existence of measure attractors for 2-D stochastic Navier-Stokes equations with general multiplicative noise.

In this paper, we develop an energy method to study finite speed of propagation and waiting time phenomena for the stochastic porous-media equation with linear multiplicative noise in up to three spatial dimensions. Based on a novel iteration technique and on stochastic counterparts of weighted integral estimates used in the deterministic setting, we formulate a sufficient criterion on the grow...

‎Bucket recursive trees are an interesting and natural‎ ‎generalization of ordinary recursive trees and have a connection‎ to mathematical chemistry‎. ‎In this paper‎, ‎we give the lower and upper bounds for the moment generating‎ ‎function and moments of the multiplicative Zagreb indices in a‎ ‎randomly chosen bucket recursive tree of size $n$ with maximal bucket size $bgeq1$‎. Also, ‎we consi...

for fr$acute{mathbf{text{e}}}$chet algebras $(a, (p_n))$ and $(b, (q_n))$, a linear map $t:arightarrow b$ is textit{almost multiplicative} with respect to $(p_n)$ and $(q_n)$, if there exists $varepsilongeq 0$ such that $q_n(tab - ta tb)leq varepsilon p_n(a) p_n(b),$ for all $n in mathbb{n}$, $a, b in a$, and it is called textit{weakly almost multiplicative} with respect to $(p_n)$ and $(q_n)$,...

Corrupting the input and hidden layers of deep neural networks (DNNs) with multiplicative noise, often drawn from the Bernoulli distribution (or ‘dropout’), provides regularization that has significantly contributed to deep learning’s success. However, understanding how multiplicative corruptions prevent overfitting has been difficult due to the complexity of a DNN’s functional form. In this pa...